Computational Strategy For Rehabilitation Of Reinforced Concrete Framed Structure Using Fibre Reinforced Polymer Confinement Of Columns

Fibre Reinforced Polymer (FRP) has been widely used for retrofitting of reinforced concrete (RC) columns. However, the global response of retrofitted RC framed structure based on Displacement Based Design (DBD) method is not clearly known. In addition, reducing consumption of material and analysis t...

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Main Author: Seyedasaei, Seyedmohsen
Format: Thesis
Language:English
Published: 2014
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Online Access:http://eprints.usm.my/46306/1/Seyedmohsen%20Seyedasaei24.pdf
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spelling my-usm-ep.463062020-02-21T02:37:55Z Computational Strategy For Rehabilitation Of Reinforced Concrete Framed Structure Using Fibre Reinforced Polymer Confinement Of Columns 2014-01 Seyedasaei, Seyedmohsen TA1-2040 Engineering (General). Civil engineering (General) Fibre Reinforced Polymer (FRP) has been widely used for retrofitting of reinforced concrete (RC) columns. However, the global response of retrofitted RC framed structure based on Displacement Based Design (DBD) method is not clearly known. In addition, reducing consumption of material and analysis time should be taken into account. Thus, this study is aimed to determine the global response of retrofitted structure using FRP-confined columns when nonlinear analysis is used to assess the structure. The analysis results for FRP-confined RC columns were first verified using eighteen experimental results found in literature. The analysis was then proceeded to the whole RC frame consisting of three to seven storey levels. The global response of retrofitted RC frame using FRP-confined columns has been found to be identical in post-yield envelope at pushover curve in conventional and ADRS formats without changing in initial stiffness. Response of retrofitted RC frame was firstly verified using analytical solution. A systematic procedure was then developed for seismic rehabilitation of RC frame based on both linear and nonlinear methods of assessment. Four case studies were used to demonstrate the applicability of proposed systematic procedures for linear and nonlinear methods of assessment. It was found that retrofitting using nonlinear method give less material consumption as compared to linear method. However, the computational time increases substantially. Results of the current study have demonstrated that the proposed systematic rehabilitation procedure for RC framed structure using FRP is capable to reach its performance objective using less material as well as computational time. 2014-01 Thesis http://eprints.usm.my/46306/ http://eprints.usm.my/46306/1/Seyedmohsen%20Seyedasaei24.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Awam
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic TA1-2040 Engineering (General)
Civil engineering (General)
spellingShingle TA1-2040 Engineering (General)
Civil engineering (General)
Seyedasaei, Seyedmohsen
Computational Strategy For Rehabilitation Of Reinforced Concrete Framed Structure Using Fibre Reinforced Polymer Confinement Of Columns
description Fibre Reinforced Polymer (FRP) has been widely used for retrofitting of reinforced concrete (RC) columns. However, the global response of retrofitted RC framed structure based on Displacement Based Design (DBD) method is not clearly known. In addition, reducing consumption of material and analysis time should be taken into account. Thus, this study is aimed to determine the global response of retrofitted structure using FRP-confined columns when nonlinear analysis is used to assess the structure. The analysis results for FRP-confined RC columns were first verified using eighteen experimental results found in literature. The analysis was then proceeded to the whole RC frame consisting of three to seven storey levels. The global response of retrofitted RC frame using FRP-confined columns has been found to be identical in post-yield envelope at pushover curve in conventional and ADRS formats without changing in initial stiffness. Response of retrofitted RC frame was firstly verified using analytical solution. A systematic procedure was then developed for seismic rehabilitation of RC frame based on both linear and nonlinear methods of assessment. Four case studies were used to demonstrate the applicability of proposed systematic procedures for linear and nonlinear methods of assessment. It was found that retrofitting using nonlinear method give less material consumption as compared to linear method. However, the computational time increases substantially. Results of the current study have demonstrated that the proposed systematic rehabilitation procedure for RC framed structure using FRP is capable to reach its performance objective using less material as well as computational time.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Seyedasaei, Seyedmohsen
author_facet Seyedasaei, Seyedmohsen
author_sort Seyedasaei, Seyedmohsen
title Computational Strategy For Rehabilitation Of Reinforced Concrete Framed Structure Using Fibre Reinforced Polymer Confinement Of Columns
title_short Computational Strategy For Rehabilitation Of Reinforced Concrete Framed Structure Using Fibre Reinforced Polymer Confinement Of Columns
title_full Computational Strategy For Rehabilitation Of Reinforced Concrete Framed Structure Using Fibre Reinforced Polymer Confinement Of Columns
title_fullStr Computational Strategy For Rehabilitation Of Reinforced Concrete Framed Structure Using Fibre Reinforced Polymer Confinement Of Columns
title_full_unstemmed Computational Strategy For Rehabilitation Of Reinforced Concrete Framed Structure Using Fibre Reinforced Polymer Confinement Of Columns
title_sort computational strategy for rehabilitation of reinforced concrete framed structure using fibre reinforced polymer confinement of columns
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Kejuruteraan Awam
publishDate 2014
url http://eprints.usm.my/46306/1/Seyedmohsen%20Seyedasaei24.pdf
_version_ 1747821649513676800